Canary:an Interactive and Query-Based Approach to Extract Requirements from Online Forums

Kanchev, Georgi M., Murukannaiah, Pradeep K., Chopra, Amit K. and Sawyer, Peter (2017). Canary:an Interactive and Query-Based Approach to Extract Requirements from Online Forums. IN: Proceedings - 2017 IEEE 25th International Requirements Engineering Conference, RE 2017. 2017 IEEE 25th International Requirements Engineering Conference (RE) . IEEE.


Interactions among stakeholders and engineers is key to Requirements engineering (RE). Increasingly, such interactions take place online, producing large quantities of qualitative (natural language) and quantitative (e.g., votes) data. Although a rich source of requirements-related information, extracting such information from online forums can be nontrivial.We propose Canary, a tool-assisted approach, to facilitate systematic extraction of requirements-related information from online forums via high-level queries. Canary (1) adds structure to natural language content on online forums using an annotation schema combining requirements and argumentation ontologies, (2) stores the structured data in a relational database, and (3) compiles high-level queries in Canary syntax to SQL queries that can be run on the relational database.We demonstrate key steps in Canary workflow, including (1) extracting raw data from online forums, (2) applying annotations to the raw data, and (3) compiling and running interesting Canary queries that leverage the social aspect of the data.

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Divisions: Engineering & Applied Sciences
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Event Title: 25th IEEE International Requirements Engineering Conference, RE 2017
Event Type: Other
Event Dates: 2017-09-04 - 2017-09-08
Uncontrolled Keywords: Software,Safety, Risk, Reliability and Quality,Management of Technology and Innovation
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Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
Published Date: 2017-09-26
Authors: Kanchev, Georgi M.
Murukannaiah, Pradeep K.
Chopra, Amit K.
Sawyer, Peter ( 0000-0001-8044-2738)



Version: Accepted Version

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